Articles liés à Textile Image Classification: Categorizing huge amount...

Textile Image Classification: Categorizing huge amount of textile images efficiently - Couverture souple

A?l?yan, R?fat

 
9783838357324: Textile Image Classification: Categorizing huge amount of textile images efficiently
Couverture souple
ISBN 10 : 3838357329 ISBN 13 : 9783838357324
Editeur : LAP Lambert Academic Publishing, 2010

Synopsis

Today, according to the increasing development of the information technologies the number of the images in textile industry is rising very fast. It seems that the textile images cannot be processed with manually. It is required that textile images are categorized as suitable classes to profit from these images. In this book, it is explained how huge textile images are classified into striped, plaided and speckled image classes. Striped images are also categorized into the classes of horizontal, vertical, 45 and 135 degree lines. Line and circle features have been used for the classification methods. To detect line and circle features of the images, it is applied to line detection operator and Hough transform method respectively. With the line feature, striped and plaided images are classified, but speckled images are found with circle feature. For the classification of the textile images, some classification methods are used as Manual Thresholding, Nearest Neighbor, k-Nearest Neighbor, Minimum Distance. The system has been evaulated in detail, and the experimental results show that the developed system categorized the textile images successfully.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Today, according to the increasing development of the information technologies the number of the images in textile industry is rising very fast. It seems that the textile images cannot be processed with manually. It is required that textile images are categorized as suitable classes to profit from these images. In this book, it is explained how huge textile images are classified into striped, plaided and speckled image classes. Striped images are also categorized into the classes of horizontal, vertical, 45 and 135 degree lines. Line and circle features have been used for the classification methods. To detect line and circle features of the images, it is applied to line detection operator and Hough transform method respectively. With the line feature, striped and plaided images are classified, but speckled images are found with circle feature. For the classification of the textile images, some classification methods are used as Manual Thresholding, Nearest Neighbor, k-Nearest Neighbor, Minimum Distance. The system has been evaulated in detail, and the experimental results show that the developed system categorized the textile images successfully.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP Lambert Academic Publishing
Date d'édition
2010
Langue
anglais
ISBN 10 
3838357329
ISBN 13 
9783838357324
Reliure
Broché
Nombre de pages
116
Coordonnées du fabricant
non disponible
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